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Trimble announced a specialized integration with Claude, the large language model and AI assistant from Anthropic, that makes it easier for Trimble® SketchUp® software users to create 3D models directly from conversational text or speech prompts. The powerful new capabilities are enabled by a SketchUp Connector model context protocol (MCP) service that allows Claude to interact directly with SketchUp (.skp) files. The connectivity enhances existing design workflows and expands access to 3D modeling for people at any skill level. Trimble SketchUp is a professional-grade 3D modeling software used widely in architecture, design, construction and other fields. This is the first Connector created by Trimble that connects the SketchUp design environment with other tools via the MCP framework. Conversational 3D modelingThe SketchUp Connector integration with Claude lets users create 3D geometry, such as building massing models, landscapes or furniture by simply describing what they want. Plain-language inputs alongside reference images, sketches, photos, floor plans and dimensions

Schneider Electric, a global energy technology leader, launched TeSys™ Tera , a next-generation intelligent motor management system designed for demanding industrial environments. Built on a century of motor management expertise, TeSys Tera unifies protection, control and monitoring to reduce equipment failures, lower energy costs and extend asset life across industries including water and wastewater, metal, mineral and mining, chemical, petrochemical, pharmaceutical and oil and gas. The company introduced the system at Texas Water 2026, the largest regional water conference in the United States. Among the sectors TeSys Tera serves, water faces particular urgency: the U.S. loses an estimated 7 billion gallons of treated water every day , averages 260,000 water main breaks per year, and one-third of the sector’s field workforce is expected to retire within the next decade. Across industrial environments, motors account for nearly 70% of all electricity consumed in industry, making them critical to operations such as pumping, conveying, compressing and processing. When failures

PTC announced the release of Windchill AI Assistant, a new artificial intelligence (AI) capability built in its Windchill® product lifecycle management (PLM) solution. This new capability introduces generative AI into Windchill via a natural language chat interface, making it easier for users to find, understand, and work with critical product information already stored in the platform, reducing time spent searching and enabling increases in team productivity. As product data complexity continues to grow, engineering and manufacturing teams often struggle to locate specific information across large sets of documents. Windchill AI Assistant addresses this challenge by enabling users to ask questions in plain language and receive contextual answers or summaries based on the content of Windchill documents. It helps users quickly review lengthy files, surface relevant details, and access insights embedded in years of engineering tests, reviews, and technical documentation that may not be easily found through traditional reports or standard navigation. All responses

MathWorks announced Release 2026a (R2026a) of the MATLAB® and Simulink® product families, introducing new AI capabilities for embedded systems development. R2026a introduces Simulink® Copilot to support Model-Based Design and Polyspace® Copilot to improve embedded software code analysis, helping engineering teams improve productivity while maintaining rigor, traceability, and repeatability in their designs. The release also includes additional updates that help engineers design faster, fix issues earlier, and move more efficiently from development, through verification, to production.  MathWorks is advancing AI for engineering in two complementary ways. First, the company is embedding copilots directly into the environments engineering teams are already using, such as MATLAB Copilot, Simulink Copilot, and Polyspace Copilot. Second, MathWorks integrates MATLAB and Simulink functionality into agentic workflows through MATLAB MCP Core Server and MATLAB Agentic Toolkit. For engineering executives and managers, the value is straightforward: teams can understand designs faster, address software issues earlier, and apply development and verification workflows more consistently.   “Engineering teams now have access to capabilities enabled by generative AI, and leaders need confidence that these translate into tangible engineering and business benefits,” said Avinash Nehemiah, Head of Product Management and Marketing, Design Automation at MathWorks. “In engineering design and software verification, productivity improvements cannot come

LTM, the Business Creativity partner to the world’s largest enterprises, announced the launch of its BlueVerse Studio in Bengaluru, a hub designed to accelerate Enterprise Agentic AI adoption for clients and deliver measurable business outcomes. LTM continues to launch more studios globally to drive AI innovation and also has studios in London and Mumbai. As part of the company’s ongoing investment in bringing innovation closer to clients, the BlueVerse Studio was created to help clients scale AI solutions from experiments to practical applications while ensuring trust and control. It unites LTM’s strongest AI capabilities, including BlueVerse CraftStudio, physical AI showcases, and industry-centric AI offerings, within one ecosystem along with: Multiple BlueVerse-certified consulting and delivery professionals currently support enterprise-grade AI solutions. These certifications provide expertise in developing intelligent agents and managing unified AI platforms, ensuring secure and impactful business outcomes.  A constantly growing number of digital employees, spanning an expanding range of roles BlueVerse research scientists

IBM announced the global availability of IBM Bob, an AI-first development partner built for enterprise teams. Bob doesn’t just help developers write code fast. It works across the full software development lifecycle (SDLC), from planning and coding to testing, deployment, and modernization, with the governance and security controls enterprises need. AI is changing how software gets built. But for most enterprises, that speed is running headfirst into decades of accumulated complexity: legacy systems, hybrid environments, compliance requirements, and the very real cost of getting it wrong. Fast AI without the right guardrails is not progress. It is just faster risk. IBM Bob is designed to close that gap. It’s built on a structured framework that embeds Bob into every role across the development process – including persona-based modes, enforced standards, reusable playbooks, tool calling, and human-in-the-loop governance – so teams can move fast while staying in control.  Key capabilities include: AI-first SDLC orchestration: It is

Eptura, the global worktech leader, announced enhanced capabilities across its workplace experience, asset management, and space planning portfolio. These innovations include AI workflows to simplify how office staff and maintenance teams interact with the built environment and a shared data foundation for enterprise decision-making. Organizations manage workplace and operational processes across an average of 17 different tools according to Eptura’s Workplace Index research, fragmenting visibility and slowing response when conditions change. Eptura’s new features provide a consolidated view, allowing leaders to respond faster based on actual usage and use the same system to inform longer-term planning. “Work spans people, places, and the assets that support them, and managing that complexity requires a single point of control,” said Raj Batra, Chief Executive Officer at Eptura. “Eptura is designed to bring those interactions together, using AI to simplify how employees engage with the built environment while giving the business clearer insight into utilization, performance, and operational

DXC Technology, a leading enterprise technology and innovation partner, announced DXC OASIS, an intelligent orchestration platform that introduces a new managed services operating model. Designed as a single, governed, and secure layer, DXC OASIS integrates seamlessly across an organization's existing IT estate. It reimagines how managed services are delivered by combining human expertise with agentic AI, shifting from reactive support to real-time, intelligent operations across the entire technology environment and enabling greater confidence in mission-critical operations. Leveraging decades of DXC delivery expertise, validated through DXC's Customer Zero approach and shaped through direct customer collaboration, DXC OASIS connects every system, signal, and technology decision, bringing together human judgment and agentic AI to run critical systems with greater speed, clarity, and control.  Enterprises operate across complex multivendor environments, yet often lack a unified view of performance, cost, risk, and operational health. Technology estates have been built over years, often decades, resulting in siloed

Sage, a leader in accounting, financial, HR and payroll technology for small and medium-sized businesses (SMBs), has acquired Doyen AI, a company founded in 2024 focused on using AI to make customer onboarding and implementation faster, simpler and more accurate for finance teams. The acquisition strengthens Sage’s AI and innovation strategy by expanding its ability to deliver AI-powered implementations. This helps customers go live faster and realize value sooner, while maintaining accuracy, auditability and control required for mission-critical finance and accounting workflows.AI-powered implementations that reduce effort and accelerate time-to-value One of the biggest pain points in the customer onboarding is journey the manual process of extracting, mapping and validating financial data during migrations. This stage can take weeks and is often one of the main causes of implementation delays. Doyen AI adds applied AI capabilities that simplify and accelerate these complex workflows, including: financial data migration and validation intelligent mapping of charts of

Synopsys, Inc. announced it will report results for the second quarter fiscal year 2026 on Wednesday, May 27, 2026, after market close. The company will host a conference call at 2:00 p.m. Pacific Time / 5:00 p.m. Eastern Time to review its financial results and business outlook. Financial and other statistical information to be discussed on this conference call will be available on the corporate website at www.investor.synopsys.com immediately before the call. A live webcast will also be available on this site. Participants should access the live webcast at least 10 minutes prior to the start of the call. A webcast replay will be available beginning May 27, 2026, at approximately 5:00 p.m. PT. The replay will be available until Synopsys announces its third quarter fiscal year 2026 results. To view the original press release, please click here. Search for Synopsys on CIMdata.com